DYNAMIC CONSENSUS FOR MOBILE NETWORKS
By Demetri P. Spanos, Reza Olfati-Saber, Richard M. Murray. 2005
424 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/84d2b91be9df27d9db40fbd2259c7e37aaed40e0
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Citations in the corpus
- Distributed Control Strategies for Microgrids: An Overview (2020, unknown): “…[89]–[91], adaptive consensus [92]–[94], consensus with constraints [95], [96], event-triggered consensus [97], [98], finite-time consensus [99], [100], delay-robust consensus, linear consensus protocol [101], [102],heterogeneous consensus [103], [104], non-linear consensus [79], [105]–[107], etc.”
- Consensus and Cooperation in Networked Multi-Agent Systems (2007, background): “Novel low-pass and high-pass consensus filters are also developed that dynamically calculate the average of their inputs in sensor networks [71, 85].”
- Hierarchical Control for Multiple DC-Microgrids Clusters (2014, methodology): “Voltage Control Inspired by [13], a distributed voltage secondary control (DVSC) strategy is proposed here based on dynamic consensus protocol [30], in order to regulate the voltage in the MGs buses.”
- Decentralized estimation and control of graph connectivity in mobile sensor networks (2008, unknown): “We also write λ i 2 ∈ R for agent i's estimate of λ 2 .”
- Consensus in Ad Hoc WSNs With Noisy Links—Part I: Distributed Estimation of Deterministic Signals (2008, methodology): “The sample mean estimator was formulated in [11] as an optimization problem, and was solved in a distributed fashion using dual decomposition techniques; see also [16] and [9] where consensus averaging was used for estimation of time-varying signals.”
- Algebraic Connectivity Ratio of Ramanujan Graphs (2007, methodology): “Nearest-neighbors graphs arise in consensus-based information fusion in ad hoc sensor networks [26], [4], [16], [23], distributed hypothesis testing using belief propagation [21], and proximity graphs in flocking theory [19].”
- Information consensus in multivehicle cooperative control (2007, background): “For example, in [51] an external input is incorporated in (1) so that the information state tracks a time-varying input.”
- Cooperative adaptive control for synchronization of second‐order systems with unknown nonlinearities (2011, background): “Dynamic consensus for tracking of time-varying signals was presented in [12].”
- Consensus Filters for Sensor Networks and Distributed Sensor Fusion (2005, methodology): “The following dynamic consensus algorithm [22] ẋ = −Lx + u̇(t)”
- Discrete-time dynamic average consensus (2010, methodology): “Key words: Consensus algorithms, multi-agent systems, cooperative control”
- State consensus for multi-agent systems with switching topologies and time-varying delays (2006, background): “For example, asynchronous information consensus (Fang and Antsaklis 2005), dynamic consensus (Spanos et al .”
- Asynchronous Consensus in Continuous-Time Multi-Agent Systems With Switching Topology and Time-Varying Delays (2006, background): “…ith Sw itching Topology and T im e-Varying D elays 1 Feng Xiao,Long W ang IntelligentControlLaboratory,Center for System s and Control,Departm entof IndustrialEngineering and M anagem ent,and Departm entofM echanicsand Space Technologies,College ofEngineering,Peking University,Beijing 100871,China”
- Real-Time Pricing by Data Fusion on Networks (2018, background): “For example, it is known that there are dynamic consensus protocols that are robust against communication loss/delay [19], [20].”
- Stabilization of Planar Collective Motion With Limited Communication (2008, background): “Consensus filters that reconstruct possibly time-varying average quantities have been recently proposed in [23].”
- Decentralized Environmental Modeling by Mobile Sensor Networks (2008, methodology): “For the high-pass estimator of [41], zero steady-state error requires extra bookkeeping to”